Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach. Rodríguez-Sotelo, J., Osorio-Forero, A., Jiménez-Rodríguez, A., Restrepo-De-Mejía, F., Peluffo-Ordoñez, D., & Serrano, J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10337 LNCS:444-455, 2017. cited By 0
Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach [link]Paper  doi  bibtex   
@ARTICLE{Rodriguez-Sotelo2017444,
author={Rodríguez-Sotelo, J.L. and Osorio-Forero, A. and Jiménez-Rodríguez, A. and Restrepo-De-Mejía, F. and Peluffo-Ordoñez, D.H. and Serrano, J.},
title={Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2017},
volume={10337 LNCS},
pages={444-455},
doi={10.1007/978-3-319-59740-9_44},
note={cited By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027059210&doi=10.1007%2f978-3-319-59740-9_44&partnerID=40&md5=b255cb56a8a67a7c9b8069bde4280e53},
document_type={Conference Paper},
source={Scopus},
}

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